Triple

T3131812
Position Surface form Disambiguated ID Type / Status
Subject Charlie Baker E65431 entity
Predicate successor P78 FINISHED
Object Maura Healey E58118 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Maura Healey | Statement: [Charlie Baker, successor, Maura Healey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maura Healey
Context triple: [Charlie Baker, successor, Maura Healey]
  • A. Maura Healey chosen
    Maura Healey is an American politician and attorney who became the first woman and first openly lesbian governor of Massachusetts.
  • B. Nancy Hayes Sununu
    Nancy Hayes Sununu is the wife of former New Hampshire governor and White House Chief of Staff John H. Sununu and the matriarch of the prominent Sununu political family.
  • C. Martin Hynes
    Martin Hynes is an American screenwriter and filmmaker best known for co-writing the story for Pixar’s animated film "Toy Story 4."
  • D. Valerie Sununu
    Valerie Sununu is an American educator and the First Lady of New Hampshire, known for her advocacy on issues such as literacy and children's mental health.
  • E. Martha Coakley
    Martha Coakley is an American lawyer and politician who served as Attorney General of Massachusetts and was the Democratic nominee in the state's 2010 U.S. Senate and 2014 gubernatorial races.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada55f77b881908866fc43bdb18185 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224d860dc819095a864619bc29411 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:04 p.m.